Rico’s research interests are in the development and application of big data methods in marketing with a focus on Bayesian hierarchical models, target marketing, loyalty programs, distributed Markov chain Monte Carlo methods, nonparametric methods, structural econometrics, and scientific visualization.
keywords
Big data methods, Bayesian hierarchical models, target marketing, loyalty programs, distributed Markov chain Monte Carlo methods, nonparametric methods, structural econometrics, scientific visualization
MKTG 3350 - Marketing Research and Analytics
Primary Instructor
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Fall 2018 / Fall 2019
Explores fundamental techniques of data collection and analysis used to solve marketing problems. Specific topics include problem definition, planning an investigation, developing questionnaires, sampling, tabulation, interpreting results, and preparing and presenting a final report. Required for marketing majors. .
